摘要
针对存储论中随机(s,S)库存算法不能反映定性因素,造成计算结果无法反映真实再订货点的问题,通过建立定量化模型,应用弹性BP神经网络算法对库存系统进行仿真,最后结合实例验证方案的可行性。
In view of the failure of the computational results to reflect the actual re-ordering points caused by the inability of the Stochastic （s, S） of the inventory theory to reflect qualitative factors, the paper constructs a quantitative model and employs elastic BP neural network algorithm in the simulation of inventory systems, whose feasibility is verified by the subsequence case study.
出处
《物流技术》
2010年第3期136-138,共3页
Logistics Technology
关键词
随机(s
S)库存
BP神经网络
再订货点
系统仿真
stochastic （s, S） inventory
BP neural network
points of re-ordering
system simulation
